{"id":"W2010506804","doi":"10.1016/j.csr.2009.10.014","title":"Elemental and stable isotopic constraints on river influence and patterns of nitrogen cycling and biological productivity in Hudson Bay","year":2009,"lang":"en","type":"article","venue":"Continental Shelf Research","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of Manitoba; Institut National de la Recherche Scientifique; Fisheries and Oceans Canada","funders":"Division of Ocean Sciences; Natural Sciences and Engineering Research Council of Canada; ArcticNet","keywords":"Bay; Terrigenous sediment; Upwelling; Oceanography; Phytoplankton; Isotopes of nitrogen; δ15N; Environmental science; Particulates; Nitrate; Organic matter; Nitrogen; δ13C; Geology; Nutrient; Stable isotope ratio; Sedimentary rock; Ecology; Geochemistry; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003890946,0.0001721722,0.0003194551,0.0006638299,0.0005119416,0.000858317,0.0004350666,0.0001974829,0.001000219],"category_scores_gemma":[0.000873589,0.0003154051,0.0001639092,0.0007254612,0.0008370345,0.0004294119,0.0007361079,0.0002027044,0.00009646287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540929,"about_ca_system_score_gemma":0.0008585132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1463074,"about_ca_topic_score_gemma":0.2758178,"domain_scores_codex":[0.9998605,0.0000278138,0.00001436883,0.00004272084,0.000018016,0.00003652546],"domain_scores_gemma":[0.9994742,0.0001398869,0.0001205408,0.00003585925,0.0001045205,0.0001249385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003353244,0.00002525332,0.9882807,0.00001371887,0.00006982494,0.0001098206,0.0006217004,0.0002187412,0.00716205,0.0001110344,0.00009583018,0.002956089],"study_design_scores_gemma":[0.000004632463,0.0000124627,0.999105,0.00000176652,0.00001185396,0.00002033048,0.000351204,0.0001574597,0.0002122928,0.00002388045,0.00009696936,0.000002057325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998005,0.00002468183,0.00001068864,0.00001051798,0.000001231769,3.611955e-7,0.00003622943,8.532641e-7,0.0001149502],"genre_scores_gemma":[0.999681,0.00002356134,0.00002883708,0.0000143387,0.000001367375,0.000001109755,0.00006380287,0.000001943521,0.0001841602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8536927,"threshold_uncertainty_score":0.2909116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03100787003765569,"score_gpt":0.2794460546743086,"score_spread":0.2484381846366529,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}